Search Results - "Ngolé Mboula, Fred Maurice"

Galaxy Image Restoration with Shape Constraint by Nammour, Fadi, Schmitz, Morgan A., Mboula, Fred Maurice Ngolè, Starck, Jean-Luc, Girard, Julien N.

“…Images acquired with a telescope are blurred and corrupted by noise. The blurring is usually modelled by a convolution with the Point Spread Function and the…”
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GREAT3 results – I. Systematic errors in shear estimation and the impact of real galaxy morphology by Mandelbaum, Rachel, Rowe, Barnaby, Armstrong, Robert, Bard, Deborah, Bertin, Emmanuel, Bosch, James, Boutigny, Dominique, Courbin, Frederic, Dawson, William A., Donnarumma, Annamaria, Fenech Conti, Ian, Gavazzi, Raphaël, Gentile, Marc, Gill, Mandeep S. S., Hogg, David W., Huff, Eric M., Jee, M. James, Kacprzak, Tomasz, Kilbinger, Martin, Kuntzer, Thibault, Lang, Dustin, Luo, Wentao, March, Marisa C., Marshall, Philip J., Meyers, Joshua E., Miller, Lance, Miyatake, Hironao, Nakajima, Reiko, Ngolé Mboula, Fred Maurice, Nurbaeva, Guldariya, Okura, Yuki, Paulin-Henriksson, Stéphane, Rhodes, Jason, Schneider, Michael D., Shan, Huanyuan, Sheldon, Erin S., Simet, Melanie, Starck, Jean-Luc, Sureau, Florent, Tewes, Malte, Zarb Adami, Kristian, Zhang, Jun, Zuntz, Joe

“…We present first results from the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, the third in a sequence of challenges for testing methods of…”
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Wasserstein Barycenter Transport for Acoustic Adaptation by Montesuma, Eduardo F., Ngole Mboula, Fred-Maurice

“…The recognition of music genre and the discrimination between music and speech are important components of modern digital music systems. Depending on the…”
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Recent Advances in Optimal Transport for Machine Learning by Montesuma, Eduardo Fernandes, Mboula, Fred Maurice Ngole, Souloumiac, Antoine

“…Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This…”
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Detection, Localization and Characterization of Fault in Cable via Machine Learning Approach Based on Compressed Sensing Time-Domain Reflectometry by Slimani, Hanane, Gargouri, Yosra, Ngole Mboula, Fred Maurice, Ravot, Nicolas

“…In this paper, a novel fault diagnosis method that combines machine learning with the compressed acquisition of Orthogonal Multi-tone Time-Domain Reflectometry…”
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Galaxy Image Restoration with Shape Constraint by Nammour, Fadi, Schmitz, Morgan A, Mboula, Fred Maurice Ngolè, Starck, Jean-Luc, Girard, Julien N

“…Images acquired with a telescope are blurred and corrupted by noise. The blurring is usually modeled by a convolution with the Point Spread Function and the…”
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Semi-supervised dictionary learning with graph regularization and active points by Tran, Khanh-Hung, Ngole-Mboula, Fred-Maurice, Starck, Jean-Luc, Prost, Vincent

“…SIAM Journal on Imaging Sciences, 2020, Vol. 13, No. 2 : pp. 724-745 Supervised Dictionary Learning has gained much interest in the recent decade and has shown…”
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Wasserstein Barycenter for Multi-Source Domain Adaptation by Montesuma, Eduardo Fernandes, Mboula, Fred Maurice Ngole

“…Multi-source domain adaptation is a key technique that allows a model to be trained on data coming from various probability distribution. To overcome the…”
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GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology by Mandelbaum, Rachel, Rowe, Barnaby, Armstrong, Robert, Bard, Deborah, Bertin, Emmanuel, Bosch, James, Boutigny, Dominique, Courbin, Frederic, Dawson, William A, Donnarumma, Annamaria, Conti, Ian Fenech, Gavazzi, Raphael, Gentile, Marc, Gill, Mandeep S. S, Hogg, David W, Huff, Eric M, Jee, M. James, Kacprzak, Tomasz, Kilbinger, Martin, Kuntzer, Thibault, Lang, Dustin, Luo, Wentao, March, Marisa C, Marshall, Philip J, Meyers, Joshua E, Miller, Lance, Miyatake, Hironao, Nakajima, Reiko, Mboula, Fred Maurice Ngole, Nurbaeva, Guldariya, Okura, Yuki, Paulin-Henriksson, Stephane, Rhodes, Jason, Schneider, Michael D, Shan, Huanyuan, Sheldon, Erin S, Simet, Melanie, Starck, Jean-Luc, Sureau, Florent, Tewes, Malte, Adami, Kristian Zarb, Zhang, Jun, Zuntz, Joe

“…Monthly Notices of the Royal Astronomical Society, 2015, 450 (3): 2963-3007 We present first results from the third GRavitational lEnsing Accuracy Testing…”
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Space variant deconvolution of galaxy survey images by Farrens, Samuel, Starck, Jean-Luc, Mboula, Fred Maurice Ngolè

“…A&A 601, A66 (2017) Removing the aberrations introduced by the Point Spread Function (PSF) is a fundamental aspect of astronomical image processing. The…”
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Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning by Schmitz, Morgan A, Heitz, Matthieu, Bonneel, Nicolas, Mboula, Fred Maurice Ngolè, Coeurjolly, David, Cuturi, Marco, Peyré, Gabriel, Starck, Jean-Luc

“…SIAM Journal on Imaging Sciences 11(1) (2018) 643-678 This paper introduces a new nonlinear dictionary learning method for histograms in the probability…”
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Super-resolution method using sparse regularization for point-spread function recovery by Mboula, Fred Maurice Ngolè, Starck, Jean-Luc, Ronayette, Samuel, Okumura, Koryo, Amiaux, Jérôme

“…In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may…”
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Machine Learning Approach for Classification of Faults in Cable via Compressed Sensing Time-Domain Reflectometry by Slimani, Hanane, Gargouri, Yosra, Mboula, Fred Maurice Ngole, Ravot, Nicolas

“…In this paper, a new method for cable diagnostics is proposed based on compressed acquisition of Orthogonal Multi-tone Time Domain Reflectometry (OMTDR). In…”
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Optimal Transport for Domain Adaptation through Gaussian Mixture Models by Montesuma, Eduardo Fernandes, Mboula, Fred Maurice Ngolè, Souloumiac, Antoine

“…In this paper we explore domain adaptation through optimal transport. We propose a novel approach, where we model the data distributions through Gaussian…”
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Manifold attack by Tran, Khanh-Hung, Ngole-Mboula, Fred-Maurice, Starck, Jean-Luc

“…Machine Learning in general and Deep Learning in particular has gained much interest in the recent decade and has shown significant performance improvements…”
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IDrISS: Intrusion Detection for IT Systems Security : Toward a semantic modelling of side-channel signals by Mboula, Ngole, Nogues, Erwan

“…This paper proposes a novel approach called IDrISS that exploits electromagnetic (EM) side-channel signals to design non-protocol based Intrusion Detection…”
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Semi-supervised dual graph regularized dictionary learning by Tran, Khanh-Hung, Ngole-Mboula, Fred-Maurice, Starck, Jean-Luc

“…In this paper, we propose a semi-supervised dictionary learning method that uses both the information in labelled and unlabelled data and jointly trains a…”
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